Principle Cloud Engineer

We are seeking an AI Engineer with a builders mindset to bring cutting‑edge AI agents and workflows into production for IFS Nexus Black. You’ll turn ambiguous customer problems into working prototypes in days/weeks, iterate in the field and scale the winners into reliable products.

You will work across the stack: prompting tools, retrieval, evaluation guardrails and backend services, collaborating closely with product design and data engineering. Expect high autonomy, direct exposure to customers and a fast loop from idea demo to production.

• Rapidly prototype AI agents and guided workflows that solve concrete customer problems; ship thin slices, instrument, and iterate with real usage.
• Design and implement cloud‑native backend services that orchestrate prompts, tools, retrieval, and automations; own the path from POC to production.
• Build robust retrieval for LLMs (search/vector pipelines, context assembly, tool selection) in partnership with data engineering.
• Establish evaluation loops: offline/online tests, golden sets, regression checks, and human‑in‑the‑loop review to measurably improve quality and safety.
• Contribute to developer experience: reusable agents/tools SDKs, templates, and internal documentation that speed up future builds.
• Collaborate with customers and internal stakeholders to frame problems, define success metrics, and translate insights into productizable solutions.
• Lead design discussions and code reviews; mentor teammates and raise the quality bar while keeping momentum high.

• 48 years as a software/AI engineer including shipping 01 products or features in startup‑like environments.
• Strong in Python (and comfortable with Type Script); able to build production services and integrate with external systems/APIs.
• Proven experience taking LLM/agent systems to production (tool use, function calling, planning/exec, retrieval‑augmented generation).
• Hands‑on with evaluation (offline/online), prompt engineering, tracing and observability for AI systems.
• Familiarity with vector databases/search embeddings and context/retrieval patterns; pragmatism about when/what to index.
• Solid backend fundamentals (services, queues, data models, CI/CD, cloud) and a bias to automate what you repeat.
• Excellent communication and product sense able to turn fuzzy business problems into clear technical plans and measurable outcomes.
• Fast mover: comfort with ambiguity, crisp prioritization and the judgment to ship small safe increments quickly.
• Nice‑to‑have: open‑source contributions, hackathon wins or a portfolio of shipped side projects; experience at both an early‑stage startup and a larger‑scale system.

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles while also valuing inclusive workplace experiences. By fostering a sense of community we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best while also engaging with colleagues to share ideas and build meaningful relationships.

Yes

Full‑time

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Engineering

years

1